使用Mediapipe和OpenCV进行身体姿势检测视频教程 (英文)

使用Mediapipe和OpenCV进行身体姿势检测

发布日期：2023年10月

创建者：Sunny Kumar

课程信息：

• 格式：MP4
• 分辨率：1280×720
• 音频：AAC，44.1 KHz，双声道
• 类型：电子学习
• 语言：英语
• 时长：13课时（1小时20分钟）
• 大小：746 MB

课程内容：

本课程将结合openCV和Mediapipe的强大功能，进行身体姿势检测。

你将学到：

• 学习如何进行图像处理
• 了解openCV的内部工作原理，以帮助我们进行网络摄像头访问和图像处理
• 使用Mediapipe并理解身体姿势检测的工作原理
• 使用Mediapipe计算身体运动，如手部运动
• 使用Mediapipe计数运动量，如深蹲、俯卧撑等
• 提取身体姿势并在空白图像中显示

要求：

• 基本的编程知识
• 基本的Python知识
• 知道如何设置Anaconda或任何Python集成开发环境（IDE）或编辑器

课程描述：

本课程是理解两个强大且广泛使用的库Mediapipe和OpenCV基础知识的入门课程。无论您是学生想要增强自己的技能，还是IT专业人士想要增强自己的知识，本课程都旨在全面介绍这些必不可少的工具。我们将从实时网络摄像头和本地存储的视频中提取身体姿势。除了Mediapipe，我们还将学习Mediapipe的基础知识。目标受众包括：

• 对计算机视觉、图像处理和身体姿势检测感兴趣的学生
• 希望扩展自己在实时视频分析和身体姿势检测方面知识的IT专业人士
• 寻求从事涉及图像和视频处理项目的开发人员和工程师
• 对计算机视觉和实时应用的激动人心可能性感到好奇的任何人

课程收益：

准备踏上计算机视觉、图像处理和实时视频分析的激动人心之旅。本课程将为您提供应对现实世界挑战和在各种领域创新所需的知识和技能。加入我们，熟练掌握Mediapipe和OpenCV，开启数字时代的新机遇。

Body pose detection using mediapipe and opencv

Published 10/2023
Created by Sunny Kumar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 1h 20m ) | Size: 746 MB

Combine the power of openCV and mediapipe to do body pose detection.

What you’ll learn
learn how to do image manipulation
how internals of opencv work to aid us with webcam access and image manipulation
use mediapipe and understand how body pose detection works
use mediapipe to count body movement like hand movement
count number of exercised done using mediapipe like lunges, squats
extract body pose and display it in a blank image

Requirements
basics programming
basics python
knowledge to set up anaconda or any python IDE or editor

Description
Are you interested in the exciting fields of computer vision, image processing, and real-time video analysis? This course is your gateway to understanding the fundamentals of two powerful and widely used libraries, MediaPipe and OpenCV. Whether you’re a student looking to bolster your skillset or an IT professional aiming to enhance your knowledge, this course is designed to provide a comprehensive introduction to these essential tools.we will be extracting body pose from a live webcam as well as local stored video.  Along with mediapipe we will also be learning basics of mediapipe.intended audience:-Students interested in computer vision and image manipulation and body pose detection.IT professionals looking to expand their knowledge in real-time video analysis and body pose detectionDevelopers and engineers seeking to work on projects involving image and video processing.Anyone curious about the exciting possibilities of computer vision and real-time applications.Prepare to embark on an exciting journey into the world of computer vision, image processing, and real-time video analysis. This course will equip you with the knowledge and skills needed to tackle real-world challenges and innovate in a variety of fields. Join us and become proficient in MediaPipe and OpenCV to unlock new opportunities in the digital age.

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